Articles liés à Introduction to AI Techniques for Renewable Energy...
- ÉditeurCRC Press
- Date d'édition2025
- ISBN 10 0367611678
- ISBN 13 9780367611675
- ReliureBroché
- Langueanglais
- Nombre de pages422
- ÉditeurTripathi Suman Lata, Dubey Mithilesh Kumar, Rishiwal Vinay, Padmanaban Sanjeevikumar
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Introduction to Ai Techniques for Renewable Energy System
Edité par
CRC Press, 2025
ISBN 10 : 0367611678
ISBN 13 : 9780367611675
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Introduction to AI Techniques for Renewable Energy System
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Introduction to Ai Techniques for Renewable Energy System
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Introduction to AI Techniques for Renewable Energy System (Paperback)
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Taylor & Francis Ltd, London, 2025
ISBN 10 : 0367611678
ISBN 13 : 9780367611675
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Paperback. Etat : new. Paperback. Introduction to AI techniques for Renewable Energy SystemArtificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems.Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systemsThis book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems. The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It provides incites to the solar cell, biofuels, wind and other renewable energy system design and characterization, including the equipment for smart energy systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780367611675
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Introduction to Ai Techniques for Renewable Energy System
impression à la demandeVendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 422 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __0367611678
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Introduction to Ai Techniques for Renewable Energy System
Edité par
CRC Press, 2025
ISBN 10 : 0367611678
ISBN 13 : 9780367611675
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Introduction to AI Techniques for Renewable Energy System
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Introduction to AI Techniques for Renewable Energy System
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Introduction to AI Techniques for Renewable Energy System
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Introduction to AI Techniques for Renewable Energy System
Edité par
Taylor & Francis Ltd, 2025
ISBN 10 : 0367611678
ISBN 13 : 9780367611675
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 780. N° de réf. du vendeur B9780367611675
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